| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Pantanal. |
|
Data corrente: |
22/12/2022 |
|
Data da última atualização: |
02/01/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
SILVA, R. F. M. da; PAPA, M.; BERGIER, I.; OLIVEIRA, S. R. de M.; CRUZ, S. A. B. da; ROMANI, L. A. S.; MASSRUHA, S. M. F. S. |
|
Afiliação: |
ROOSEVELT FABIANO MORAES DA SILVA, UNIVERSIDADE ESTADUAL DE CAMPINAS, INSTITUTO FEDERAL DE EDUCAÇÃO CIÊNCIA E TECNOLOGIA DO MATO GROSSO DO SUL; MATHEUS PAPA, UNIVERSIDADE ESTADUAL DE CAMPINAS; IVAN BERGIER TAVARES DE LIMA, UNIVERSIDADE ESTADUAL DE CAMPINAS, CNPTIA, CPAP; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; SERGIO APARECIDO BRAGA DA CRUZ, CNPTIA; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; SILVIA MARIA FONSECA S MASSRUHA, CNPTIA. |
|
Título: |
Digital transformation for improving sustainable value of products and services from agri-food systems. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Frontiers in Sustainability, v. 3, 1048701, 2022. |
|
DOI: |
10.3389/frsus.2022.1048701 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Value is routinely concentrated at the final links of food production chains as a consequence of market failures or asymmetries that distribute wealth unevenly in agri-food supply systems. Otherwise, for products with a geographic origin, the share can be more equitably distributed by adding environmental, sociocultural or technological values to products associated with sustainable models. Protecting a geographic indication (GI) of value-added products requires complex collective rules of sui generis systems, certified trademarks or business practices, including the approval of protocols or even unfair protection suitlaws. These rules are created on multilevel legislations gathering intrinsic cultural, historical and economic features. As a result, GI schemes are typically costly thus preventing access of general smallholders in product-valued chains. Digital technologies like mobile applications have a promising role in minimizing these limitations along food production chains, from pre-production to production and post-production. The pervasive spread of mobile devices with useful built-in sensors can be therefore a major consequence of the digital transformation in agriculture by means of intuitive applications combined with high-level technologies such as cloud/edge computing and Application Programming Interfaces (APIs). In this article, we present a new perspective on the digital transformation of the agri-food sector that may fasten smallholders? inclusion and access in market ecosystems of value-added products with GI. Such perspective demands the understanding of stakeholders networks for customizing mobile applications for digital authentication of product GI. The approach can foster new compliance schemes as those embedded in Environmental, Social and Governance (ESG) market initiatives. MenosValue is routinely concentrated at the final links of food production chains as a consequence of market failures or asymmetries that distribute wealth unevenly in agri-food supply systems. Otherwise, for products with a geographic origin, the share can be more equitably distributed by adding environmental, sociocultural or technological values to products associated with sustainable models. Protecting a geographic indication (GI) of value-added products requires complex collective rules of sui generis systems, certified trademarks or business practices, including the approval of protocols or even unfair protection suitlaws. These rules are created on multilevel legislations gathering intrinsic cultural, historical and economic features. As a result, GI schemes are typically costly thus preventing access of general smallholders in product-valued chains. Digital technologies like mobile applications have a promising role in minimizing these limitations along food production chains, from pre-production to production and post-production. The pervasive spread of mobile devices with useful built-in sensors can be therefore a major consequence of the digital transformation in agriculture by means of intuitive applications combined with high-level technologies such as cloud/edge computing and Application Programming Interfaces (APIs). In this article, we present a new perspective on the digital transformation of the agri-food sector that may fasten smallholders? inclusion and access... Mostrar Tudo |
|
Palavras-Chave: |
Acessibilidade de dados; Data accessibility; Digital inclusion; ESG; Geographic indication; Inclusão digital; Indicação geográfica; Rastreabilidade. |
|
Thesaurus Nal: |
Traceability. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150286/1/AP-Digital-transformation-2022.pdf
|
|
Marc: |
LEADER 02780naa a2200313 a 4500
001 2150286
005 2023-01-02
008 2022 bl uuuu u00u1 u #d
024 7 $a10.3389/frsus.2022.1048701$2DOI
100 1 $aSILVA, R. F. M. da
245 $aDigital transformation for improving sustainable value of products and services from agri-food systems.$h[electronic resource]
260 $c2022
520 $aValue is routinely concentrated at the final links of food production chains as a consequence of market failures or asymmetries that distribute wealth unevenly in agri-food supply systems. Otherwise, for products with a geographic origin, the share can be more equitably distributed by adding environmental, sociocultural or technological values to products associated with sustainable models. Protecting a geographic indication (GI) of value-added products requires complex collective rules of sui generis systems, certified trademarks or business practices, including the approval of protocols or even unfair protection suitlaws. These rules are created on multilevel legislations gathering intrinsic cultural, historical and economic features. As a result, GI schemes are typically costly thus preventing access of general smallholders in product-valued chains. Digital technologies like mobile applications have a promising role in minimizing these limitations along food production chains, from pre-production to production and post-production. The pervasive spread of mobile devices with useful built-in sensors can be therefore a major consequence of the digital transformation in agriculture by means of intuitive applications combined with high-level technologies such as cloud/edge computing and Application Programming Interfaces (APIs). In this article, we present a new perspective on the digital transformation of the agri-food sector that may fasten smallholders? inclusion and access in market ecosystems of value-added products with GI. Such perspective demands the understanding of stakeholders networks for customizing mobile applications for digital authentication of product GI. The approach can foster new compliance schemes as those embedded in Environmental, Social and Governance (ESG) market initiatives.
650 $aTraceability
653 $aAcessibilidade de dados
653 $aData accessibility
653 $aDigital inclusion
653 $aESG
653 $aGeographic indication
653 $aInclusão digital
653 $aIndicação geográfica
653 $aRastreabilidade
700 1 $aPAPA, M.
700 1 $aBERGIER, I.
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aCRUZ, S. A. B. da
700 1 $aROMANI, L. A. S.
700 1 $aMASSRUHA, S. M. F. S.
773 $tFrontiers in Sustainability$gv. 3, 1048701, 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio-Norte. Para informações adicionais entre em contato com cpamn.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Meio-Norte. |
|
Data corrente: |
16/09/1998 |
|
Data da última atualização: |
20/02/2013 |
|
Autoria: |
SOUZA, V. A. B. de; BYRNE, D. H.; TAYLOR, J. F. |
|
Título: |
Heritability, genetic and phenotypic correlations, and predicted selection response of quantitative traits in peach: I. An analysis of several reproductive traits. |
|
Ano de publicação: |
1998 |
|
Fonte/Imprenta: |
Journal of the American Society for Horticultural Science, v.123, n.4, p.598-603, 1998. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Seedlings of 108 families from crosses among 42 peach [Prunus persica (L.) Batsch] cultivars and selections were evaluated for six plant characteristics in 1993, 1994, and 1995. The data were analyzed by using a mixed linear model, with years treated as fixed and additive genotypes as random factors. Best linear unbiased prediction (BLUP) was used to estimate fixed effects. Restricted maximum likelihood (REML) was used to estimate variance components, and a multiple trait model was used to estimate genetic and phenotypic covariances among traits. The narrow-sense heritability estimates were 0.41, 0.29, 0.48, 0.47, 0.43, and 0.23 for flower density, flowers per node, node density, fruit density, fruit set, and blind node propensity, respectively. Most genetic correlations among pairs of traits were >- 0.30 and were, in general, much higher than the corresponding phenotypic correlations. Flower density and flowers per node, fruit density and fruit set and flower density and fruit density were the combinations of traits that had the highest genetic correlation estimates. Direct selection practiced solely for flower density (either direction) is expected to have a greater effect on fruit density than direct selection for fruit density. |
|
Palavras-Chave: |
Fruit breeding; Heranca quantitativa; Quantitative inheritance; Selecao de caracteristica multipla. |
|
Thesagro: |
Fruta; Prunus Persica. |
|
Thesaurus NAL: |
multiple trait selection. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 02045naa a2200229 a 4500
001 1054498
005 2013-02-20
008 1998 bl --- 0-- u #d
100 1 $aSOUZA, V. A. B. de
245 $aHeritability, genetic and phenotypic correlations, and predicted selection response of quantitative traits in peach$bI. An analysis of several reproductive traits.
260 $c1998
520 $aSeedlings of 108 families from crosses among 42 peach [Prunus persica (L.) Batsch] cultivars and selections were evaluated for six plant characteristics in 1993, 1994, and 1995. The data were analyzed by using a mixed linear model, with years treated as fixed and additive genotypes as random factors. Best linear unbiased prediction (BLUP) was used to estimate fixed effects. Restricted maximum likelihood (REML) was used to estimate variance components, and a multiple trait model was used to estimate genetic and phenotypic covariances among traits. The narrow-sense heritability estimates were 0.41, 0.29, 0.48, 0.47, 0.43, and 0.23 for flower density, flowers per node, node density, fruit density, fruit set, and blind node propensity, respectively. Most genetic correlations among pairs of traits were >- 0.30 and were, in general, much higher than the corresponding phenotypic correlations. Flower density and flowers per node, fruit density and fruit set and flower density and fruit density were the combinations of traits that had the highest genetic correlation estimates. Direct selection practiced solely for flower density (either direction) is expected to have a greater effect on fruit density than direct selection for fruit density.
650 $amultiple trait selection
650 $aFruta
650 $aPrunus Persica
653 $aFruit breeding
653 $aHeranca quantitativa
653 $aQuantitative inheritance
653 $aSelecao de caracteristica multipla
700 1 $aBYRNE, D. H.
700 1 $aTAYLOR, J. F.
773 $tJournal of the American Society for Horticultural Science$gv.123, n.4, p.598-603, 1998.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Meio-Norte (CPAMN) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
